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A Single Image High-Perception Super-Resolution Reconstruction Method Based on Multi-layer Feature Fusion Model with Adaptive Compression and Parameter Tuning
We propose a simple image high-perception super-resolution reconstruction method based on multi-layer feature fusion model with adaptive compression...
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A High-Resolution Network Based on Feature Redundancy Reduction and Attention Mechanism
Model lightweighting is an essential aspect of computer vision tasks. We found that HRNet achieves superior performance by maintaining high...
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High-Resolution Self-attention with Fair Loss for Point Cloud Segmentation
Applying deep learning techniques to analyze point cloud data has emerged as a prominent research direction. However, the insufficient spatial and...
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Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs
Generative models allow for the creation of highly realistic artificial samples, opening up promising applications in medical imaging. In this work,...
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Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fields
Video conferencing has caught much more attention recently. High fidelity and low bandwidth are two major objectives of video compression for video...
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High-frequency channel attention and contrastive learning for image super-resolution
Over the last decade, convolutional neural networks (CNNs) have allowed remarkable advances in single image super-resolution (SISR). In general,...
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Efficient CNN for high-resolution remote sensing imagery understanding
The analysis of remote sensing data and the classification of images are complex problems because understanding spatial patterns and intricate...
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High-speed dense matching algorithm for high-resolution aerial image based on CPU-FPGA
The paper proposes a new initial disparity estimation algorithm based on sparse local feature matching and one-dimensional dynamic programming. The...
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A Novel Methodology for High Resolution Sea Ice Motion Estimation
As changes in climate lead to rapid changes in Arctic sea ice dynamics, there is a pressing need to provide methods for reliably monitoring sea ice...
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SARS-CoV-2: enhancement and segmentation of high-resolution microscopy images—Part I
Possibly, and due to poor eating habits and unhealthy lifestyle, many viruses are transmitted to human people. Such is the case, of the novel...
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Low-resolution periocular images recognition using a novel CNN network
In the context of the COVID-19 epidemic, periocular recognition has become a more effective identity recognition way to replace face recognition....
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Deep architecture for super-resolution and deblurring of text images
Image deblurring and super resolution attempts to restore images that have been degraded. We propose a joint technique for super resolution and...
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Machine learning-based spatial downscaling and bias-correction framework for high-resolution temperature forecasting
High-resolution temperature forecasting plays a crucial role in various applications such as climate impact assessment, hydrological modeling, and...
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Blind visual quality assessment for super-resolution images: database and model
Image super-resolution (SR) algorithms are placed on high hope to reconstruct ultra-high-definition (UHD) videos from existing low-resolution videos....
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Inv3D: a high-resolution 3D invoice dataset for template-guided single-image document unwar**
Numerous business workflows involve printed forms, such as invoices or receipts, which are often manually digitalized to persistently search or store...
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Attention-Based Bitemporal Image Deep Feature-Level Change Detection for High Resolution Imagery
To understand the intricacy of changes on the surface of the land, change detection is an important field in the area of remote sensing. Bitemporal...
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Land-Cover Map** in the Biogradska Gora National Park with Very-High-Resolution Pléiades Images
Old-growth forests (OGFs) are extremely valuable relict ecosystems for studying natural disturbance dynamics. Small-scale disturbances caused by tree...
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An optimization high-resolution network for human pose recognition based on attention mechanism
In the high-resolution network (HRNet), the low layer of low resolution part can adopt shallow parallel network structure to maintain the...
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Construction of hyperspectral images from RGB images via CNN
Hyperspectral imaging (HSI) is an approach that captures information spanning a broad spectrum of spectral bands or wavelengths. Unlike traditional...
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Multi-Curve Translator for High-Resolution Photorealistic Image Translation
The dominant image-to-image translation methods are based on fully convolutional networks, which extract and translate an image’s features and then...